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An Interleaved Parallel Volume Renderer With PC-clusters
(The Eurographics Association, 2002)
Parallel Volume Rendering has been realized using various load distribution methods that subdivide either the screen, called image-space partitioning, or the volume dataset, called object-space partitioning. The major ...
Load-Balanced Isosurfacing on Multi-GPU Clusters
(The Eurographics Association, 2010)
Isosurface extraction is a common technique applied in scientific visualization. Increasing sizes of volumes over which isosurfacing is to be applied combined with increasingly hierarchical parallel architectures present ...
Accelerating and Benchmarking Radix-k Image Compositing at Large Scale
(The Eurographics Association, 2010)
Radix-k was introduced in 2009 as a configurable image compositing algorithm. The ability to tune it by selecting k-values allows it to benefit more from pixel reduction and compression optimizations than its predecessors. ...
Revisiting Parallel Rendering for Shared Memory Machines
(The Eurographics Association, 2011)
Increasing the core count of CPUs to increase computational performance has been a significant trend for the better part of a decade. This has led to an unprecedented availability of large shared memory machines. Programming ...
A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction
(The Eurographics Association, 2016)
Streamlines are commonly used for visualizing flow fields, but particle-tracing based streamline computation usually does not scale well as the data size and complexity increase. Large flow simulations like global ocean ...
Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing
(The Eurographics Association, 2004)
We present a new parallel multiresolution volume rendering algorithm for visualizing large data sets. Using the wavelet transform, the raw data is first converted into a multiresolution wavelet tree. To eliminate the ...
Parallel Reflective Symmetry Transformation for Volume Data
(The Eurographics Association, 2007)
Many volume data possess symmetric features that can be clearly observed, for example, those existed in diffusion tensor image data sets. The exploitations of symmetries for volume data sets, however, are relatively limited ...